Postdoc at Stanford. Designing fast algorithms. Writing a lot of Julia code.
Oct 23, 2020 • 7 tweets • 4 min read
The #julialang twitter data network was supposed to be part of this lecture but unfortunately I didn't have enough time -- so here's a thread about it.
How I built it: (1) take the #julialang tweets w >5 likes, (2) get the usernames, (3) find who they follow and build a network.
When I first visualized the network, I noticed that there was an apparent separation of some clusters, so the next thing I did is color-coded all the nodes based on whether the words "julia", "python", "rlang"/"rstats" appear in their bios. The resulting figure is pretty amazing!
May 27, 2020 • 13 tweets • 7 min read
I had so much fun working on this data science course!
One aspect of the fun I had was learning interesting information about the data I used. I share my learnings here and look forward to hearing about yours.
The next time you visit Yellowstone National Park to check out the Old Faithful geyser, know that if you wait for too long for the geyser to go off... you are likely to witness a longer eruption.
